Cloud / AI Architect in United

• 10+ years of experience in cloud architecture, software engineering, data platforms, or related technical fields. \n

• Proven experience architecting and delivering enterprise AI/ML solutions in large-scale environments. \n

• Strong hands-on experience with AWS Agent Core and building Agentic AI frameworks, workflows, and orchestration pipelines. \n

• Experience designing, implementing, and scaling Retrieval-Augmented (RAG) architectures in enterprise environments. \n

• Demonstrated ability to develop proof-of-concept solutions and transition them into scalable production platforms. \n

• Experience evaluating or implementing cloud- AI solutions across AWS and/or Google Cloud Platform (GCP). \n

• Strong understanding of large models (LLMs), vector databases, embeddings, prompt engineering, and agent orchestration patterns. \n

• Experience integrating AI solutions with enterprise applications, APIs, and data ecosystems. \n

• Prior experience serving in an Architect, Principal Engineer, or similar technical leadership role. \n

• Exceptional communication and stakeholder management skills with the ability to simplify technical concepts for business audiences. \n, * Experience building internal AI platforms or AI Centers of Excellence. \n

• Knowledge of AI governance, security, scalability, and operational best practices. \n

• Experience with modern AI frameworks, agent orchestration tools, and vector search technologies. \n

• Telecommunications or large enterprise experience is a plus. \n, * Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. \n

• Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline . \n

• Relevant cloud and AI certifications are highly desirable. \n

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * Lead the architecture, design, and implementation of enterprise-scale Agentic AI solutions and intelligent workflow automation platforms. \n

• Build proof-of-concept and production-ready AI pipelines leveraging AWS Agent Core and modern agent-based architectures. \n

• Design and implement Retrieval-Augmented (RAG) frameworks to support scalable enterprise knowledge retrieval and AI-driven decision-making. \n

• Define architectural standards, patterns, and best practices for AI agents, orchestration workflows, vector search, and enterprise data integration. \n

• Evaluate and recommend cloud platform strategies across AWS, GCP, and other emerging AI ecosystem technologies. \n

• Collaborate with business and technical stakeholders to translate complex requirements into scalable AI solutions. \n

• Provide technical leadership while remaining hands-on with prototyping, pipeline development, and solution implementation. \n

• Partner with cross-functional teams to identify opportunities for AI-driven process optimization and workflow enrichment. \n

• Communicate complex technical concepts to technical and non-technical audiences, including customer-facing discussions and executive-level presentations. \n

• Support enterprise adoption of AI capabilities through architecture reviews, technology assessments, and implementation guidance. \n

nOur client is a leading Fortune 100 telecommunications and connectivity organization focused on modernizing enterprise platforms through advanced cloud and artificial intelligence initiatives. As part of a strategic AI enrichment program, the organization is building a scalable agentic AI platform that will enhance business workflows across multiple departments and drive intelligent automation at enterprise scale.